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Tracking vehicles in heavy-traffic video is a challenging problem. It is hard for algorithms based on background extraction to work well. We propose an algorithm that does not need background information. In this algorithm, vehicle corners are detected and tracked, and then grouped into vehicles. Experiments show the effectiveness of the proposed algorithm under heavy congestion.
In this paper, a novel algorithm is proposed to locate facial feature points robustly and accurately. It uses the coarse-to-fine strategy to search feature points. Firstly, it used phase congruency to model the feature points locally and locate facial feature points roughly. Secondly, it used reflectance, which is intrinsic texture of object, to drive the search of fine location. Experiments showed...
Local binary pattern (LBP) is a powerful texture descriptor that is gray-scale and rotation invariant according to T. Ojala et al. (2002). Because texture is one of the most clearly observable features in low-resolution palmprint images, we think local binary pattern based features are very discriminative for palmprint identification. In this paper, we propose a palmprint identification approach using...
We present a novel approach for discretely optimizing contours on the surface of a triangle mesh. This is achieved through the use of a minimum ratio cycle (MRC) algorithm, where we compute a contour having the minimal ratio between a novel contour energy term and the length of the contour. Given an initial contour, we seek to find the optimal contour within a prescribed search domain. The domain...
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